Social tagging in Recommender Systems

机译：推荐系统中的社交标签

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The Web 2.0 gave the Internet users a virtual life, in which they could shop online and try to socialize through Web. Recommender Systems (RS) improves users' shopping experience by by recommending them a shopping item. Many techniques have been introduced to enhance RS algorithms, including social tagging. Social Tagging let users share resources and this lead to more personalized recommendation. There is a lack of overall information about RS algorithms that have implemented social tagging. Therefore, in this paper we compared and analysed some of the studies that have particularly used social tagging in recommender systems. Both Collaborative Filtering (CF) and Content-based filtering systems were compared, and results show that it is better to combine these algorithms for achieving higher personalized recommendation, and also to address the cold start issue.

机译：Web 2.0为互联网用户提供了虚拟生活，使他们可以在线购物并尝试通过Web进行社交。推荐系统（RS）通过向用户推荐购物商品来改善他们的购物体验。已经引入了许多技术来增强RS算法，包括社交标签。社交标记使用户可以共享资源，这将导致更具个性化的推荐。缺少有关已实现社交标签的RS算法的总体信息。因此，在本文中，我们比较并分析了一些在推荐系统中特别使用社交标记的研究。比较了协同过滤（CF）和基于内容的过滤系统，结果表明，最好将这些算法结合起来以实现更高的个性化推荐，并解决冷启动问题。

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《International Conference on Computational Science and Technology》|2014年|1-5|共5页
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Arabi Hossein; Balakrishnan Vimala;
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collaborative filtering; content-based retrieval; recommender systems; retail data processing; social networking (online); CF system; Internet users; RS algorithms; Web 2.0; cold start issue; collaborative filtering system; content-based filtering system; personalized recommendation; recommender systems; resource sharing; shopping item recommendation; social tagging; user shopping experience improvement; virtual life; Accuracy; Algorithm design and analysis; Collaboration; Recommender systems; Tagging; Taxonomy; Collaborative Filtering; Content-based; Recommendation System; Social tagging;

机译：协作过滤;基于内容的检索;推荐系统;零售数据处理;社交网络（在线）; CF系统;互联网用户; RS算法; Web 2.0;冷启动问题;协作过滤系统;基于内容的过滤系统;个性化推荐;推荐系统;资源共享;购物项目推荐;社会标签;改善用户购物体验;虚拟生活;准确性;算法设计和分析;协作;推荐系统;标签;分类法;协作过滤;基于内容;推荐系统;社会标签;

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1. Recommender systems and the social web:leveraging tagging data for recommender systems [J] . M. Bielikova Computing reviews . 2014,第2期

机译：推荐系统和社交网络：利用推荐系统的标记数据
2. A recommender system based on tag and time information for social tagging systems [J] . Nan Zheng, Qiudan Li Expert Systems with Application . 2011,第4期

机译：基于标签和时间信息的社交标签系统推荐系统
3. Tagged at first listen: an examination of social tagging practices in a music recommender system [J] . Audrey Laplante Encontros Bibli: revista de biblioteconomia e ciencia da informacao . 2015,第0期

机译：初听时被加标签：在音乐推荐系统中检查社交标签做法
4. Resource recommender system based on tag and time for social tagging system [C] . Misaghian Negin, Jalali Mehrdad, Moattar Mohammad Hossein International Conference on Computer and Knowledge Engineering . 2013

机译：基于标签和时间的资源推荐系统用于社会标签系统
5. Expanding learning and social interaction through intelligent systems design: Implementing a reputation and recommender system for the Claremont Conversation Online. [D] . Thoms, Brian. 2009

机译：通过智能系统设计扩展学习和社交互动：为Claremont在线对话实施声誉和推荐系统。
6. The Power of Implicit Social Relation in Rating Prediction of Social Recommender Systems [O] . Waleed Reafee, Naomie Salim, Atif Khan -1

机译：内隐社会关系在社会推荐系统评级预测中的作用
7. Recommending Items in Social Tagging Systems Using Tag and Time Information [O] . Lacic, Emanuel, Kowald, Dominik, Seitlinger, Paul, 2014

机译：使用标签和时间推荐社会标签系统中的项目信息

Social tagging in Recommender Systems

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